At test time, it is important to test the model with unseen conditions. To this end, we rely on two separate datasets to corrupt the test set. The first is the Deep Noise Suppression 4 (DNS4) challenge dataset [1]}, comprised of approximately 180 hours of noise extracted from 150 categories with no presence of speech. For reverberation, we used the OpenSLR26 dataset [2]}, which contains 60,000 simulated room impulse responses corresponding to various small-, medium-, and large-sized rooms.
